Kernel machines and additive fuzzy systems: Classification and function approximation

Yixin Chen, James Z. Wang

Research output: Contribution to conferencePaper

22 Citations (Scopus)

Abstract

This paper investigates the connection between additive fuzzy systems and kernel machines. We prove that, under quite general conditions, these two seemingly quite distinct models are essentially equivalent. As a result, algorithms based upon Support Vector (SV) learning are proposed to build fuzzy systems for classification and function approximation. The performance of the proposed algorithm is illustrated using extensive experimental results.

Original languageEnglish (US)
Pages789-795
Number of pages7
StatePublished - Jul 11 2003
EventThe IEEE International conference on Fuzzy Systems - St. Louis, MO, United States
Duration: May 25 2003May 28 2003

Other

OtherThe IEEE International conference on Fuzzy Systems
CountryUnited States
CitySt. Louis, MO
Period5/25/035/28/03

Fingerprint

Kernel Machines
Function Approximation
Fuzzy systems
Fuzzy Systems
Support Vector
Distinct
Experimental Results
Model
Learning

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

Cite this

Chen, Y., & Wang, J. Z. (2003). Kernel machines and additive fuzzy systems: Classification and function approximation. 789-795. Paper presented at The IEEE International conference on Fuzzy Systems, St. Louis, MO, United States.
Chen, Yixin ; Wang, James Z. / Kernel machines and additive fuzzy systems : Classification and function approximation. Paper presented at The IEEE International conference on Fuzzy Systems, St. Louis, MO, United States.7 p.
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Chen, Y & Wang, JZ 2003, 'Kernel machines and additive fuzzy systems: Classification and function approximation', Paper presented at The IEEE International conference on Fuzzy Systems, St. Louis, MO, United States, 5/25/03 - 5/28/03 pp. 789-795.

Kernel machines and additive fuzzy systems : Classification and function approximation. / Chen, Yixin; Wang, James Z.

2003. 789-795 Paper presented at The IEEE International conference on Fuzzy Systems, St. Louis, MO, United States.

Research output: Contribution to conferencePaper

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Chen Y, Wang JZ. Kernel machines and additive fuzzy systems: Classification and function approximation. 2003. Paper presented at The IEEE International conference on Fuzzy Systems, St. Louis, MO, United States.